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Julian Ivanov

Showing results (1-10 of 5) with videos related to

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Journal of Chemical Information and Computer Sciences|March 23, 2004
Molecular symmetry perceptionJulian Ivanov
Regulatory Toxicology and Pharmacology : RTP|December 19, 2006
A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicalsEdwin J Matthews, Naomi L Kruhlak, R Daniel Benz, et al.
Journal of Medicinal Chemistry|May 24, 2024
Emerging Targets and Therapeutics in Immuno-Oncology: Insights from Landscape AnalysisKavita A Iyer, Julian Ivanov, Rumiana Tenchov, et al.
ACS Omega|March 10, 2025
Nanoscience in Action: Unveiling Emerging Trends in Materials and ApplicationsKevin J Hughes, Magesh Ganesan, Rumiana Tenchov, et al.
ACS Omega|November 2, 2020
Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral InfectionsJulian Ivanov, Dmitrii Polshakov, Junko Kato-Weinstein, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Chemical Information and Computer Sciences|March 23, 2004
Molecular symmetry perceptionJulian Ivanov
Regulatory Toxicology and Pharmacology : RTP|December 19, 2006
A comprehensive model for reproductive and developmental toxicity hazard identification: II. Construction of QSAR models to predict activities of untested chemicalsEdwin J Matthews, Naomi L Kruhlak, R Daniel Benz, et al.
Journal of Medicinal Chemistry|May 24, 2024
Emerging Targets and Therapeutics in Immuno-Oncology: Insights from Landscape AnalysisKavita A Iyer, Julian Ivanov, Rumiana Tenchov, et al.
ACS Omega|March 10, 2025
Nanoscience in Action: Unveiling Emerging Trends in Materials and ApplicationsKevin J Hughes, Magesh Ganesan, Rumiana Tenchov, et al.
ACS Omega|November 2, 2020
Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral InfectionsJulian Ivanov, Dmitrii Polshakov, Junko Kato-Weinstein, et al.
Pageof 1